Show Notes
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Hermes Agent has emerged as the open source AI agent that people are choosing. In this episode, we go beyond the hype to understand why. Through conversations with a co-founder of Nous Research, AI engineering veterans, and non-technical builders, we explore what Hermes can actually do today, where it falls short, and why the choice of which agent you use matters more than you think. From self-improving skills and three-layer memory to video dubbing workflows and CAD hardware sourcing. These are real people getting real value from an agent they own. But the deeper story is about what happens when your AI infrastructure is closed vs open. The decisions you make today about which tools you use are shaping the future of AI for everyone. Open source must win, and this episode explains why.
Follow the amazing guests Karan - Co-founder & Head of Behavior, Nous Research: https://x.com/karan4d Wolfram Ravenwolf - AI Evangelist and Creator Wolfbench: https://x.com/WolframRvnwlf Robert Desmond — Founder & CEO, Farm Friend: https://x.com/twodogseeds Evan Roach — Product Developer: https://x.com/evvaaannnn Kat Winter - https://x.com/katspigeon
Connect with us https://x.com/ToolUsePodcast https://x.com/MikeBirdTech
00:00:00 - Intro 00:01:52 - Ambient Agents 00:05:12 - Why everyone is switching to Hermes Agent 00:17:53 - Real-World AI Agent Use Cases & Automations 00:29:59 - Why Open Source Must Win
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Check out www.ToolUsePodcast.com Are AI web browsers falling short of the hype? Enter Rover, a revolutionary open-source AI agent that unlocks full autonomous workflows directly on your website with just a single script tag. In this episode, Arjun and Bhavani from rtrvr return to dive deep into how Rover uses a unique DOM-only approach to navigate, click, and type with subsecond latency. This innovative method completely bypasses slow screenshot-based models and outdated playwright or puppeteer scripts. We discuss the engineering secrets behind building smart DOM trees, why they crushed web benchmarks, and how Rover provides a powerful alternative to Google's Web MCP by keeping users engaged on your site instead of handing traffic over to external AI tools. Plus, learn how you can trigger complex agentic workflows via simple URL queries and why open-sourcing this technology is a massive win for the developer community. Rover links:https://x.com/rtrvrairover.rtrvr.ai Github: https://github.com/rtrvr-ai/rover Rover Deep dive: https://www.rtrvr.ai/blog/10-billion-proof-point-every-website-needs-ai-agent Benchmark: https://www.rtrvr.ai/blog/web-bench-results Connect withus https://x.com/ToolUsePodcast https://x.com/MikeBirdTech https://x.com/rtrvrai 00:00:00 - Intro 00:03:05 - The DOM-Only Approach vs Screenshots for AI Agents 00:06:00 - Parsing HTML vs Markdown for Reliable LLM Data 00:11:47 - Handling Modals, iFrames, and Canvas Elements 00:15:32 - Implementing AI Guardrails and Extracting User Intent Data 00:28:04 - Rover vs Google Web MCP for Website Automation 00:31:25 - Triggering Autonomous AI Workflows via URL Queries Subscribe for more insights on AI tools, productivity, and web automation. Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX Tool Use is a weekly conversation with the top AI experts.
Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX
Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX
Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX
Join the Tool Use Discord: https://discord.gg/PnEGyXpjaX